6533b862fe1ef96bd12c63a6
RESEARCH PRODUCT
Towards Psychologically based Personalised Modelling of Emotions Using Associative Classifiers
Miguel Arevalillo-herráezFrancesc J. FerriAladdin Ayeshsubject
Facial expressionbusiness.industryComputer scienceSentiment analysisUsabilityCognition0102 computer and information sciences02 engineering and technologyAnimationMachine learningcomputer.software_genre01 natural sciencesHuman-Computer InteractionUser experience design010201 computation theory & mathematicsArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessSet (psychology)computerSoftwareAssociative propertydescription
Learning environments, among other user-centred applications, are excellent candidates to trial Computational Emotions and their algorithms to enhance user experience and to expand the system usability. However, this was not feasible because of the paucity in affordable consumer technologies that support the requirements of systems with advanced cognitive capabilities. Microsoft Kinect provides an accessible and affordable technology that can enable cognitive features such as facial expressions extraction and emotions detection. However, it comes with its own additional challenges, such as the limited number of extracted Animation Units (AUs). This paper presents a new approach that attempts at finding patterns of interaction between AUs, and between AUs and a given emotion. By doing so, the authors aim to reach a mechanism to generate a dynamically personified set of rules relating AUs and emotions. These rules will implicitly encode a person's individuality in expressing one's emotions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-03-01 |